Background Image
Previous Page  163 / 552 Next Page
Information
Show Menu
Previous Page 163 / 552 Next Page
Page Background

INFORMS Philadelphia – 2015

161

2 - An Approximation for the Bed Occupancy Process in

Inpatient Wards

Ohad Perry, Northwestern University, 2145 Sheridan Road,

Evanston, IL, 60208, United States of America,

ohad.perry@northwestern.edu

We consider queueing dynamics of bed-occupancy processes in inpatient wards.

These are time varying, and have departures that are highly concentrated within

a short time period each day, following the physicians’ daily inspection round. We

characterize a necessary and sufficient condition for the system to be stable, and

employ a fluid approximation to prove an asymptotic periodic behavior of the

system. That ``periodic equilibrium’’ can be used to optimize systems’

performance.

3 - Operations Management of a Stool Bank for

Fecal Transplantations

Abbas Kazerouni, Stanford University, Electrical Engineering

Department, Stanford, CA, United States of America,

abbask@stanford.edu,

Lawrence Wein

We describe our work with OpenBiome, a nonprofit firm that enables fecal

transplants for treating Clostridium difficile, which is responsible for 25,000

deaths and $1 billion annually in the U.S. We optimize the timing of new donor

acquisitions and the individualized (based on donor production rate) testing

frequency for each donor, with the goal of meeting nonstationary demand

(increasing at 10% per month) at minimum cost.

4 - Queues with Time-varying Arrivals and Inspections with

Applications to Hospital Discharge Policies

Carri Chan, Columbia Business School, 3022 Broadway, Uris Hall,

Room 410, New York, NY, 10027, United States of America,

cwchan@columbia.edu

, Linda Green, Jing Dong

To discharge a patient from a hospital unit, a physician must determine that the

patient is stable enough to be discharged. As such, patients may occupy a bed

longer than medically necessary. Motivated by this phenomenon, we introduce a

queueing system with time-varying arrival rates in which servers who have

completed service cannot be released until an inspection occurs. We examine how

such a dynamic impacts system dynamics and consider how to optimize the

timing of inspections.

MA47

47-Room 104B, CC

MSOM Sustainability and Energy

Sponsor: Manufacturing & Service Oper Mgmt/Sustainable

Operations

Sponsored Session

Chair: Yangfang Zhou, Assistant Professor, Lee Kong Chian School of

Business, Singapore Management University, Singapore, Singapore,

helenzhou@smu.edu.sg

1 - Investments in Renewable and Conventional Energy:

Role of Operational Flexibility

Kevin Shang, Duke University, 100 Fuqua Drive, Durham, NC,

United States of America,

kevin.shang@duke.edu

, Gurhan Kok,

Safak Yucel

We study investments of a utility firm in renewable and conventional energy

sources with different levels of operational flexibility, i.e., the ability to quickly

ramp up or down the output of a generator. We consider supply characteristics of

conventional and renewable sources to investigate their interaction with each

other. We find that inflexible sources (e.g., nuclear energy) and renewables are

strategic substitutes; flexible sources (e.g., natural gas) and renewables are

complements.

2 - Promoting Clean Technology Products: to Subsidize Consumers

or Manufacturer?

Ho-Yin Mak, University of Oxford, Said Business School, Park

End Street, Oxford, United Kingdom,

makho06@gmail.com

,

Guangrui Ma, Michael Lim, Zhixi Wan

We study the dynamic adoption process of Clean Technology Products, which is

often hampered by the chicken-and-egg dilemma: at the early stage of

commercialization, firms are reluctant to invest in support infrastructure before

sufficient consumers adopt the products; on the other hand, consumers hesitate

to adopt the products without such infrastructure. We study two lines of widely-

discussed policy instruments, government subsidies and mandated information

disclosure, to tackle this dilemma.

3 - Is Electricity Storage “GREEN”? A Case Study with Commercial

Buildings for Reducing Demand Charge

Yangfang Zhou, Assistant Professor, Lee Kong Chian School of

Business, Singapore Management University, Singapore,

Singapore,

helenzhou@smu.edu.sg

Electricity storage systems, e.g., grid-scale industrial batteries, are known in the

literature to increase carbon emission when used for arbitrage. However, we

show that when these storage systems are used for reducing demand charge (on

peak load), they can potentially decrease carbon emission. We model the problem

of managing electricity storage and solar panels in a commercial building (e.g.,

those for hotels, banks, and supermarkets), and examine the “greenness” of

storage with real data.

4 - Dynamics of Capacity Investment in Renewable Energy Projects

John Birge, Professor, University of Chicago Booth School of

Business, 5807 S Woodlawn Ave, Chicago, IL, 60637, United

States of America,

john.birge@chicagobooth.edu

, Nur Sunar

We study the dynamics of the capacity investment for renewable power

generators. Using a continuous time Brownian model, we explicitly identify the

optimal dynamic capacity investment strategy of a renewable power generator.

Our analysis offers important insights for renewable power generators. We also

include some numerical analysis to shed light on the optimal strategy.

MA48

48-Room 105A, CC

Supply Chain Finance and Risk Management

Sponsor: Manufacturing & Service Oper Mgmt/iFORM

Sponsored Session

Chair: Wei Luo, IESE Business School, Av. Pearson 21,

Barcelona, Spain,

wluo@iese.edu

Co-Chair: Kevin Shang, Duke University, 100 Fuqua Drive,

Durham, NC, United States of America,

kevin.shang@duke.edu

1 - The Strategic Role of Business Insurance

Juan Serpa, Assistant Professor, Kelley School of Business,

Indiana University, 2111 Lower Mall, Bloomington, IN,

United States of America,

juan.serpa@sauder.ubc.ca

,

Harish Krishnan

We show that, in a multi-firm setting, insurance can be used strategically as a

commitment mechanism to prevent excessive free-riding by other firms. In the

presence of wealth imbalances, contracts alone leave wealth-constrained firms

with inefficiently low incentives to exert effort, and firms with sufficient wealth

with excessive incentives. Insurance allows the latter to credibly commit to lower

effort, thereby mitigating the incentives of the wealth-constrained firms to free

ride.

2 - Supply Chain Financing with Buy-back Contracts

Tunay Tunca, University of Maryland, College Park, MD,

United States of America,

ttunca@rhsmith.umd.edu,

Weiming Zhu

Facing a budget-constrained buyer, a novel approach for large suppliers is

adopting buy-back financing schemes to relieve their downstream partners and

reduce channel costs. We analyze the efficiency of these financing schemes, and

explore their impact on operational decisions and contract design. We find that

such contract agreements can improve channel efficiency significantly over

traditional financing methods.

3 - Supply Chain Network Formation and Risk Propagation

John Birge, Professor, University of Chicago Booth School of

Business, 5807 S Woodlawn Ave, Chicago, IL, 60637, United

States of America,

john.birge@chicagobooth.edu

, Jing Wu

The structure of supply chain networks impacts firm’s performance through direct

effects from shocks to linked firms as well as indirect effects from systematic risk

exposure across the entire network. This talk will discuss a motivating model of

network formation in this context and its implications for firms’ supply chain

choices.

4 - Trade Credit and Price Elasticity of Demand

Eduard Calvo, IESE School of Business, IESE, Barcelona, Spain,

ECalvo@iese.edu

, Wei Luo

This paper investigates how price elasticity of demand impacts trade credit in

virtually integrated supply chains. We derive a theoretical model wherein trade

credit is expressed as a function of margins, financing costs and elasticity. Ceteris

paribus, we predict that suppliers of products with higher demand elasticity

should be paid earlier to unlock higher profits. We further test the model using

data from a large Spanish supermarket chain and its virtually integrated suppliers.

MA48